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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22384
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    Explanations

    instances of the word 'driving'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "driving" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.99
     Seym
    -0.76
    reement
    -0.76
    ertain
    -0.75
    tle
    -0.74
    romeda
    -0.74
     Lum
    -0.74
    ANN
    -0.72
    ileaks
    -0.72
    ereo
    -0.72
    POSITIVE LOGITS
    wheel
    0.94
     driving
    0.89
    driving
    0.89
    boats
    0.87
    bike
    0.83
     away
    0.82
    boat
    0.80
     wheel
    0.80
     simulator
    0.79
     motorcycles
    0.79
    Activations Density 0.044%

    No Known Activations